随着大数据技术的发展,未来电网将更加智能化、安全化,必定会向着低成本、高效率、高可靠性的方向转变,传统的数据架构已无法满足当前的数据分析处理。为了进一步提高广东电网的核心竞争力,向客户提供更好、更安全的服务,积极研究大数据处理架构势在必行。随着大数据技术的发展,各国学者已经将大数据技术应用到电力行业,以此来提高电力行业的竞争力。电网业务数据可以分为生产数据、运营数据和管理数据。 With the development of big data technology, in the future, the power grid will be more intelligentized and safer, and will inevitably shift towards low cost, high efficiency and high reliability. The traditional data architecture can not meet the current data analysis and processing. In order to further improve the core competitiveness of Guangdong Power Grid, to provide customers better and more secure services, and actively study the big data processing architecture is imperative. With the development of big data technology, scholars in various countries have applied big data technology to the power industry in order to enhance the competitiveness of the power industry. Grid business data can be divided into production data, operational data and management data.